Productivity of aspen forests in northeastern Minnesota, U.S.A., as related to stand composition and canopy structure

Edgar, Christopher B.; Burk, Tammie

doi:10.1139/x01-029

Cited by 39 publications

(16 citation statements)

References 7 publications

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“…Models included interaction terms to account for differences in prediction slopes resulting from compositional effects (Edgar and Burk 2001). To characterize how tree species composition influences the susceptibility of carbon sequestration to insect defoliation (objective 3), we examined the reconstructed carbon accumulation, or annual aboveground carbon increment (C AI ), of trees >10.0 cm DBH from 1980 to 2008 and highlighted the varied disturbance history of sites and the impact of known defoliation events on carbon stocks.…”

Section: Discussionmentioning

confidence: 99%

“…Functional groups were defined as intolerant hardwoods of the genus Populus (PW), including P. tremuloides and occasionally P. balsamifera; tolerant hardwoods (HW), including A. rubrum, B. papyrifera, F. nigra, Tilia americana L., and U. americana; and tolerant softwoods (SW), including A. balsamea, P. glauca, and rarely P. strobus. Additionally, interaction terms were included between RD and the proportion of RD occupied by each functional group, as past investigations of compositional effects on productivity justify the inclusion of these terms (Edgar and Burk 2001). Plot composition was calculated as the proportion of plot RD occupied by each functional group (RD PW , RD HW , and RD SW ).…”

Section: Stand Characteristicsmentioning

confidence: 99%

“…Several studies have demonstrated that production is greatest in "pure" P. tremuloides stands when compared with varying mixtures of P. tremuloides and conifers such as A. balsamea, P. glauca, and Picea mariana (Mill.) BSP (Edgar and Burk 2001;Cavard et al 2010). Other findings have identified enhanced biomass production within aspen mixedwoods containing a fully stocked overstory of P. tremuloides with an understory of P. glauca (MacPherson et al 2001).…”

Section: Compositional Effects On Resiliencementioning

confidence: 99%

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Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks

et al. 2014

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Low-severity canopy disturbance presumably influences forest carbon dynamics during the course of stand development, yet the topic has received relatively little attention. This is surprising because of the frequent occurrence of such events and the potential for both the severity and frequency of disturbances to increase as a result of climate change. We investigated the impacts of low-severity canopy disturbance and average insect defoliation on forest carbon stocks and rates of carbon sequestration in mature aspen mixedwood forests of varying stand age (ranging from 61 to 85 years), overstory composition, stocking level, and site quality. Stocking level and site quality positively affected the average annual aboveground tree carbon increment (C AAI ), while stocking level, site quality, and stand age positively affected tree carbon stocks (C TREE ) and total ecosystem carbon stocks (C TOTAL ). Cumulative canopy disturbance (DIST) was reconstructed using dendroecological methods over a 29-year period. DIST was negatively and significantly related to soil carbon (C SOIL ), and it was negatively, albeit marginally, related to C TOTAL . Minima in the annual aboveground carbon increment of trees (C AI ) occurred at sites during defoliation of aspen (Populus tremuloides Michx.) by forest tent caterpillar (Malacosoma disstria Hubner), and minima were more extreme at sites dominated by trembling aspen than sites mixed with conifers. At sites defoliated by forest tent caterpillar in the early 2000s, increased sequestration by the softwood component (Abies balsamea (L.) Mill. and Picea glauca (Moench) Voss) compensated for overall decreases in C AI by 17% on average. These results underscore the importance of accounting for low-severity canopy disturbance events when developing regional forest carbon models and argue for the restoration and maintenance of historically important conifer species within aspen mixedwoods to enhance stand-level resilience to disturbance agents and maintain site-level carbon stocks.Résumé : Les perturbations peu sévères du couvert forestier influencent probablement la dynamique du carbone forestier au cours du développement d'un peuplement bien que ce sujet ait été relativement peu étudié. C'est surprenant parce que de tels événements se produisent souvent et que la fréquence et la gravité de ces perturbations pourraient augmenter à cause des changements climatiques. Nous avons étudié les impacts d'une perturbation peu sévère du couvert forestier et d'une défoliation périodique par les insectes sur les stocks de carbone forestier et le taux de piégeage du carbone dans des peuplements mixtes de peuplier mature qui variaient en termes d'âge (de 61 à 85 ans), de composition du couvert forestier, de densité et de qualité de station. La densité du peuplement et la qualité de station ont influencé positivement l'accroissement annuel moyen du carbone aérien des arbres (C AAM ) alors que la densité et l'âge du peuplement ainsi que la qualité de station ont influencé positivement le stock de carbone d...

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Section: Discussionmentioning

confidence: 99%

Section: Stand Characteristicsmentioning

confidence: 99%

Section: Compositional Effects On Resiliencementioning

confidence: 99%

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Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks

et al. 2014

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“…Sites were not randomly selected; instead, we sampled a set of stands that met the aforementioned criteria -a rather small set due to the extensive regional harvest of 40-60 years old aspen mixedwoods. Site indices, tree densities, and basal areas were representative of fully stocked and productive P. tremuloides stands (Perala, 1977;Edgar and Burk, 2001). Stands had moderately well to poorly drained aqualf soils originating from clayey glaciolacustrine deposits or fine-textured glacial till.…”

Section: Study Areamentioning

confidence: 99%

Repeated insect outbreaks promote multi-cohort aspen mixedwood forests in northern Minnesota, USA

Reinikainen

D’Amato

Fraver

2012

Forest Ecology and Management

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“…This model showed that tree volume is a function of tree diameter and height. The relationship between tree volume and basal area has been discussed by many investigators (Edgar, 2001;Dean, 2004;Maltamo et al, 2006;Jensen et al, 2006). It is possible to predict stand basal area by a statistical model.…”

Section: Recent Progress and Future Directionsmentioning

confidence: 99%

A review of stand basal area growth models

et al. 2007

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Growth and yield modeling has a long history in forestry. The methods of measuring the growth of stand basal area have evolved from those developed in the U.S.A. and Germany during the last century. Stand basal area modeling has progressed rapidly since the first widely used model was published by the U.S. Forest Service. Over the years, a variety of models have been developed for predicting the growth and yield of uneven/even-aged stands using stand-level approaches. The modeling methodology has not only moved from an empirical approach to a more ecological process-based approach but also accommodated a variety of techniques such as: 1) simultaneous equation methods, 2) difference models, 3) artificial neural network techniques, 4) linear/nonlinear regression models, and 5) matrix models. Empirical models using statistical methods were developed to reproduce accurately and precisely field observations. In contrast, process models have a shorter history, developed originally as research and education tools with the aim of increasing the understanding of cause and effect relationships. Empirical and process models can be married into hybrid models in which the shortcomings of both component approaches can, to some extent, be overcome. Algebraic difference forms of stand basal area models which consist of stand age, stand density and site quality can fully describe stand growth dynamics. This paper reviews the current literature regarding stand basal area models, discusses the basic types of models and their merits and outlines recent progress in modeling growth and dynamics of stand basal area. Future trends involving algebraic difference forms, good fitting variables and model types into stand basal area modeling strategies are discussed.

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Productivity of aspen forests in northeastern Minnesota, U.S.A., as related to stand composition and canopy structure

Cited by 39 publications

References 7 publications

Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks

Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks

Repeated insect outbreaks promote multi-cohort aspen mixedwood forests in northern Minnesota, USA

A review of stand basal area growth models

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